Cover Image

Federated Unlearning for Human Activity Recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Kongyang, zhang, Dongping, Chai, Yaping, Zhang, Weibin, Wang, Shaowei, Shen, Jiaxing
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Private Data Leakage in Federated Human Activity Recognition for Wearable Healthcare Devices
by: Chen, Kongyang, et al.
Published: (2024)

Machine Unlearning in Large Language Models
by: Chen, Kongyang, et al.
Published: (2024)

Classification-Head Bias in Class-Level Machine Unlearning: Diagnosis, Mitigation, and Evaluation
by: Zheng, Weidong, et al.
Published: (2026)

Goldfish: An Efficient Federated Unlearning Framework
by: Wang, Houzhe, et al.
Published: (2024)

Jellyfish: Zero-Shot Federated Unlearning Scheme with Knowledge Disentanglement
by: Wang, Houzhe, et al.
Published: (2026)

Forgetting to Witness: Efficient Federated Unlearning and Its Visible Evaluation
by: Wang, Houzhe, et al.
Published: (2026)

Verification of Machine Unlearning is Fragile
by: Zhang, Binchi, et al.
Published: (2024)

Federated Split Learning for Human Activity Recognition with Differential Privacy
by: Ndeko, Josue, et al.
Published: (2024)

Blockchain-enabled Trustworthy Federated Unlearning
by: Lin, Yijing, et al.
Published: (2024)

BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning
by: Lu, Bingguang, et al.
Published: (2025)

Efficient Federated Unlearning under Plausible Deniability
by: Varshney, Ayush K., et al.
Published: (2024)

Attack by Unlearning: Unlearning-Induced Adversarial Attacks on Graph Neural Networks
by: Zhang, Jiahao, et al.
Published: (2026)

Reinforcement Unlearning
by: Ye, Dayong, et al.
Published: (2023)

ConDa: Fast Federated Unlearning with Contribution Dampening
by: Chundawat, Vikram S, et al.
Published: (2024)

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation
by: Jiang, Yu, et al.
Published: (2024)

Adversarial Update-Based Federated Unlearning for Poisoned Model Recovery
by: Zhao, Wenwei, et al.
Published: (2026)

Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics
by: Romandini, Nicolò, et al.
Published: (2024)

Graph Unlearning with Efficient Partial Retraining
by: Zhang, Jiahao, et al.
Published: (2024)

Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
by: Lee, Hong kyu, et al.
Published: (2024)

Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning
by: Jiang, Yu, et al.
Published: (2025)

Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness
by: Wang, Cheng-Long, et al.
Published: (2024)

Edge Unlearning is Not "on Edge"! An Adaptive Exact Unlearning System on Resource-Constrained Devices
by: Xia, Xiaoyu, et al.
Published: (2024)

Certified Machine Unlearning via Noisy Stochastic Gradient Descent
by: Chien, Eli, et al.
Published: (2024)

On Large Language Model Continual Unlearning
by: Gao, Chongyang, et al.
Published: (2024)

Unlink to Unlearn: Simplifying Edge Unlearning in GNNs
by: Tan, Jiajun, et al.
Published: (2024)

Poisoning Attacks and Defenses to Federated Unlearning
by: Wang, Wenbin, et al.
Published: (2025)

Upcycling Noise for Federated Unlearning
by: Chen, Jianan, et al.
Published: (2024)

MAGNETO: Edge AI for Human Activity Recognition -- Privacy and Personalization
by: Zuo, Jingwei, et al.
Published: (2024)

PackVFL: Efficient HE Packing for Vertical Federated Learning
by: Yang, Liu, et al.
Published: (2024)

Adversarial Machine Unlearning
by: Di, Zonglin, et al.
Published: (2024)

Verifiable Unlearning on Edge
by: Maheri, Mohammad M, et al.
Published: (2025)

Forgetting Similar Samples: Can Machine Unlearning Do it Better?
by: Xu, Heng, et al.
Published: (2026)

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data
by: Inane, Ahmed Mehdi, et al.
Published: (2026)

SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications
by: Wang, Weiqi, et al.
Published: (2025)

Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models
by: Zhang, Fuyao, et al.
Published: (2025)

Scalable Federated Unlearning via Isolated and Coded Sharding
by: Lin, Yijing, et al.
Published: (2024)

TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning
by: Wang, Weiqi, et al.
Published: (2025)

Certified Unlearning for Neural Networks
by: Koloskova, Anastasia, et al.
Published: (2025)

Efficient Unlearning with Privacy Guarantees
by: Domingo-Ferrer, Josep, et al.
Published: (2025)

Node-level Contrastive Unlearning on Graph Neural Networks
by: Lee, Hong kyu, et al.
Published: (2025)